Lack of a bridge between screening and medical management for hypertension
Health screening cohort in Japan
Bibliographic Data
| ID | 15380680 |
|---|---|
| Authors | Shingo Fukuma (0000-0002-8379-8761, Kyoto University, corresponding author), Tatsuyoshi Ikenoue (0000-0003-3717-8788, Kyoto University), Yoshiyuki Saito (0000-0002-2462-6775, Kyoto University), Yukari Yamada (0000-0002-5336-3468, Kyoto University), Yusuke Saigusa (0000-0003-4785-7653, Yokohama City University), Toshihiro Misumi (0000-0001-8339-2895, Yokohama City University), Masataka Taguri (0000-0001-8902-0056, Yokohama City University) |
| Year | 2020 |
| Volume | 20 |
| Issue | 1 |
| Pages | 1419-1419 |
| Publication date | 2020-09-17 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | BMC Public Health (JOURNAL) |
| Journal identifiers | ISSN: 1471-2458 • E-ISSN: 1471-2458 |
| Publisher | BioMed Central (PUBLISHER • GB) |
| DOI | 10.1186/s12889-020-09532-5 |
| PMID | 32943038 |
| OpenAlex | W3087338345 |
| Language | EN |
| Citations received | 1 |
| References cited | 23 |
Health screenings detected hypertension in a substantial percentage of the middle-aged population in this study. However, detection was often followed by insufficient medical treatment and inappropriate blood pressure management. These findings indicate an inadequate link between health screenings and medical treatments in patients with hypertension
Biostatistics · Blood pressure · Cohort · Cohort study · Environmental health · Population · Propensity score matching · Blood Pressure and Hypertension Studies · Health Promotion and Cardiovascular Prevention · Medicine · Sodium Intake and Health · Epidemiology · Internal Medicine · Pediatrics
Japanese universal health coverage
Variable selection – A review and recommendations for the practicing statistician
Models for Longitudinal Data
Large Sample Properties of Matching Estimators for Average Treatment Effects
Global burden of hypertension
Statistical Analysis of Correlated Data Using Generalized Estimating Equations
Balance diagnostics for comparing the distribution of baseline covariates between treatment groups in propensity‐score matched samples
The central role of the propensity score in observational studies for causal effects
Bias-Corrected Matching Estimators for Average Treatment Effects
An Introduction to Propensity Score Methods for Reducing the Effects of Confounding in Observational Studies
| Unique citing works | 1 |
|---|---|
| Citations per year | 0,25 |
| Citation span | 2022 - 2022 (1) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 1 |